SansuTek Inc.

SansuTek Inc.

Data Scientist Lead

Dallas, Texas, USA · Contract

Sponsorship not specifiedDetected 170 days ago
PythonSQLData ScienceData VisualizationStatisticsCommunicationCollaborationProblem Solving

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odds of building a lasting career here

40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Third-party placement is common here

52% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 6 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: Deloitte · Deloitte Consulting LLP · Social Security AdministrationFiles as an H-1B dependent employer.

Files H-1B transfers

6 transfer filings in the last year, covering 6 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Key Responsibilities • Analyze large datasets to identify fraud trends, anomalies, and emerging risk patterns • Design and implement fraud monitoring strategies for new products and capabilities • Optimize fraud detection processes by improving alert logic and reducing false positives • Apply predictive modeling techniques for segmentation, targeting, and
  • risk assessment • Develop and enhance reporting dashboards for fraud and portfolio performance tracking • Establish baselines and track performance against business expectations • Collaborate with risk, product, engineering, and strategy teams • Partner with internal and external data providers, ensuring data quality and governance • Support development and

Nice to have

  • Analyze large datasets to identify fraud trends, anomalies, and emerging risk patterns
  • Apply predictive modeling techniques for segmentation, targeting, and risk assessment
  • Establish baselines and track performance against business expectations
  • Contribute to risk appetite definition and monitoring strategies Technical Skills Must Have
  • Strong background in Math, Statistics, and Quantitative Analysis
  • Proficiency in SQL, Python, or R
  • Strong Analytical Mindset and Data Skills
  • Experience with Tableau or Power BI Nice To Have
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This listing is sourced directly from SansuTek Inc.'s careers page and normalized into a canonical job model.